This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combinati...
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Abstract. We have been developing a system AirTransNote, a computermediated learning system that employs digital pen to realize papercentric augmented classroom. Although the appro...
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...